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Poster
Tue 9:00 Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Samarth Gupta · Saurabh Amin
Workshop
Transfer NAS with Meta-learned Bayesian Surrogates
Gresa Shala · Thomas Elsken · Frank Hutter · Josif Grabocka
Poster
Wed 9:00 Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation
Ioana Bica · Mihaela van der Schaar
Workshop
Fri 8:10 Contributed Talk 1: FiT: Parameter Efficient Few-shot Transfer Learning
Workshop
Few-Shot Transferable Robust Representation Learning via Bilevel Attacks
Minseon Kim · Hyeonjeong Ha · Sung Ju Hwang
Workshop
When & How to Transfer with Transfer Learning
Adri├ín Tormos · Dario Garcia-Gasulla · Victor Gimenez-Abalos · Sergio Alvarez-Napagao
Workshop
Fri 11:40 Provable Benefits of Representational Transfer in Reinforcement Learning
Workshop
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Xingchao Liu · Chengyue Gong · Qiang Liu
Poster
Transfer Learning in Information Criteria-based Feature Selection
Shaohan Chen · Nikolaos V Sahinidis · Chuanhou Gao
Poster
Wed 9:00 TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang · Jimeng Sun
Workshop
Sat 7:00 Modular and Composable Transfer Learning
Jonas Pfeiffer
Workshop
Fri 13:00 Contributed talk 3: The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence